文档介绍：细心整理
课程名称 管用统计软件
试验工程名称 非线性回来分析
试验成果 指导老师〔签名 〕 日
1
6
.000
.281
-.009
Exponential
.992
1
6
.000
-.009
The independent variable is 温度.
图中看出Cubic，Compound，Growth，Exponential和Logistic较高，其中Cubic最高，所以选择三次函数拟合。
细心整理
视察得，图形更接近Cubic和Exponential两种曲线。
细心整理
Cubic函数在500处为0，有明显差异。
细心整理
ANOVA
Sum of Squares
df
Mean Square
F
Sig.
Regression
1
.000
Residual
.113
6
.019
Total
7
The independent variable is 温度.
Coefficients
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
温度
-.009
.000
-.996
-
.000
细心整理
Coefficients
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
温度
-.009
.000
-.996
-
.000
(Constant)
.128
.000
(Constant)
.128
.000
The dependent variable is ln(强度).
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
95% Confidence Interval for B
Correlations
B
Std. Error
Beta
Lower Bound
Upper Bound
Zero-order
Partial
Part
1
(Constant)
.719
.144
.002
.366
温度
-.002
.001
-.821
-
.013
-.003
.000
-.821
-.821
-.821
a. Dependent Variable: 强度
[,]
[-,0]
2.
细心整理
Model Summary and Parameter Estimates
Dependent Variable:社会消费品零售总额
Equation
Model Summary
Parameter Estimates
R Square
F
df1
df2
Sig.
Constant
b1
b2
b3
Linear
.836
1
27
.000
-
Logarithmic
.527
1
27
.000
-
Inverse
.184
1
27
.020
-
Quadratic
.987
2
26
.000
-
Cubic
.995
3
25
.000
-
Compound
.995
1
27
.000